In massive multiple-input multiple-output (MIMO) systems, accurate direction-of-arrival
(DOA) estimation is important for the base station (BS) to perform effective downlink …

Performance of direction of arrival (DOA) estimation is one of the most important issues in
array signal processing. Subspace-based algorithms provide a good compromise between …

Source enumeration is typically studied under the assumption of white noise, which may not
be suitable for real-world applications. In this article, a source enumeration algorithm robust …

Multiple signal classification (MUSIC) has been widely applied in multiple-input multiple-
output (MIMO) receivers for direction-of-arrival (DOA) estimation. To reduce the cost of radio …

Due to the space limitations, the array in a massive multiple-input multiple-output (MIMO)
system often suffers from unknown mutual coupling. Meanwhile, small records of data …

In this paper, a direction of arrival (DoA) estimation and tracking scheme based on spatial
structure matching is proposed for integrated sensing and communication (ISAC) massive …

We develop two novel algorithms for estimating the direction of arrival (DoA) of multiple
sources in fully-connected and partially-connected hybrid analog/digital (HAD) receivers …

Array imperfections will lead to serious performance degradation of the deep neural network
(DNN) based direction of arrival (DOA) estimation in the low earth orbit (LEO) satellite …

Mutual coupling (MC) effect between antennas can deteriorate the direction of arrival (DOA)
estimation performance. Block sparse signal representation (BSSR) is an effective solution …

In this article, a spurious peak suppression direction-of-arrival (DOA) estimation method
based on test of orthogonality of projected subspaces (SPS-TOPS) is proposed for …